• Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and organized for analysis. Perform detailed data wrangling tasks to handle data inconsistencies to prepare data for use in predictive models and analysis. • Implement advanced data transformation techniques (e.g., feature engineering, aggregation, normalization) to optimize data for specific machine learning, optimization and statistical models. • Work on various types of predictive models, including classification, regression, and clustering, using algorithms like decision trees, random forests, or neural networks. • Contribute to the fine-tuning of models by optimizing hyperparameters and evaluating performance using cross-validation, ensuring that models meet business and technical requirements. • Develop end-to-end analytical solutions, from data collection to model deployment, ensuring that the solutions meet the client's business objectives, such as improving lending strategies or underwriting decisions. • Ensure that the analytical results align with key performance indicators (KPIs) and help drive measurable outcomes. • Participate in the internal development of new data science methodologies that address evolving needs related to underwriting for our financial institution clients. • Present complex analytical findings in a clear and actionable format to internal stakeholders and external clients helping them interpret the results of predictive models and make informed decisions based on data insights. • Provide feedback and contribute to the continuous improvement of the data science workflow, ensuring projects are executed efficiently and with precision.

• Serve as the technical lead on client projects, owning the end-to-end delivery of OpenText / Documentum solutions from design through implementation. • Actively contribute to pre-sales activities — engaging clients, understanding their needs, and shaping winning proposals and solution designs. • Define and produce high-level and low-level technical designs that meet the highest standards of quality and scalability. • Translate functional requirements into clear technical analyses and architectures. • Lead and mentor internal and contract technical staff, fostering a culture of excellence and continuous development. • Act as a trusted advisor to clients, challenging stakeholders where appropriate and recommending the most future-proof solutions based on your expertise. • Share your vision on Enterprise Content Management with clients and colleagues, helping to elevate the practice across the organization. • Collaborate with project management to ensure solutions are delivered on time, on budget, and to specification.

• Update the bookcover for the first volume of the MangRes graphic novel ‘Visiones del Manglar’, according to UNESCO Publications Guidelines. • Develop three chapters for the second volume of the MangRes graphic novel ‘Visiones del Manglar’. Format : A4, 20 pages maximum per chapter. • Create illustrations for the 2nd and 3rd chapters, ensuring alignment with the project's messaging and themes. • Depict Latin American and the Caribbean mangrove species, landscapes, and environments. • Ensure scientific accuracy and engage with educational and environmental awareness-raising goals. • Create the layout and integrate approved text into the final design. • Deliver the finalized illustrations for the 2nd and 3rd chapters for a final review, addressing all feedback from UNESCO. • Provide print-ready files and digital files for web (screen) to UNESCO. • Define a cohesive color palette, character design, and artistic technique suitable for the project.

• Facilitate virtual training sessions for sales and commercial teams in both onboarding and continuous learning initiatives • Design and develop high-quality learning assets including presentations, playbooks, facilitator guides, and sales enablement materials • Translate business requirements and operational goals into practical and engaging training solutions • Partner with stakeholders across Sales, Operations, and Leadership teams to identify performance gaps and learning needs • Support sales performance improvement initiatives through coaching, reinforcement activities, and targeted learning interventions • Deliver interactive learning experiences that promote engagement, knowledge retention, and practical application • Track training effectiveness and contribute to continuous improvement initiatives aligned with operational KPIs • Participate in stakeholder meetings to understand product updates, process changes, and business priorities